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ICPR
2008
IEEE
14 years 9 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
SCFBM
2008
138views more  SCFBM 2008»
13 years 7 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
BMCBI
2011
13 years 2 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
DIGITALCITIES
2000
Springer
14 years 6 days ago
Extending the Services and the Accessibility of Community Networks
Community networks are community-oriented information and communication systems that are generally patterned after the public library’s model of free, inclusive service and commi...
Antonietta Grasso, Dave Snowdon, Michael Koch
CN
2004
102views more  CN 2004»
13 years 7 months ago
Comparing economic incentives in peer-to-peer networks
Users who join a peer-to-peer network have, in general, suboptimal incentives to contribute to the network, because of the externalities that exist between them. The result is an ...
Panayotis Antoniadis, Costas Courcoubetis, Robin M...